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Gbiz Company Subsidies

gbiz_company_subsidies
Read-onlyIdempotent

Japanese government subsidies and grants received by one company, by its 13-digit corporate number, from gBizINFO (METI). Each record returns the approval date, the subsidy programme name, the amount in yen and the granting ministry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoSubsidies to return, newest first, 1-500 (default 50).
_apiKeyNoOptional. Your own gBizINFO API token, if you would rather use your own quota than the shared one. Register free at https://info.gbiz.go.jp/hojin/various_registration/form — pick 個人利用者 (individual) unless you have a Japanese 法人番号.
corporate_numberYesThe company: its 13-digit Japanese corporate number (法人番号) or its name — a name is resolved, and the Japanese form resolves far more reliably than a romanised one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and non-destructive, covering the safety profile. The description adds useful output context (returned fields) but does not mention rate limits, quota behavior, or pagination details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise, front-loaded sentences state the core purpose and output details without filler or repetition. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only query tool with annotations covering safety and schema covering parameters, the description is adequate. It explains the source, input type, and return fields, and minor gaps like pagination are implied by the limit parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all three parameters. The description reinforces corporate_number as a 13-digit identifier but adds no meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns Japanese government subsidies and grants for one company by its corporate number, listing specific output fields. It semantically distinguishes itself from siblings like gbiz_company_procurement, but does not explicitly name or contrast with alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The use case (subsidy lookup for a single company) is implied, but there is no explicit guidance on when to use this tool versus sibling tools like gbiz_company_procurement or gbiz_company_search. It provides no exclusions or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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